Trial reportGait & posture2019
Fractal analysis of gait in people with Parkinson's disease: three minutes is not enough.
Trial report in Gait & posture, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessing the Temporal Organization of Walking Variability: A Systematic Review and Consensus Guidelines on Detrended Fluctuation Analysis.Frontiers in physiology · 2020Pooled it
- Subtle to significant: Enhancing heaviness perception with stochastic resonance.Journal of experimental psychology. Human perception and performance · 2026Article
- Hurst-Kolmogorov Process is a More Reliable and Statistically Powerful Alternative to Detrended Fluctuation Analysis for Estimating Hurst in Short Walking Trials.Annals of biomedical engineering · 2026Article
- Human movement patterns predict task-unrelated thought.PloS one · 2026Article
- Ground gradient affects stride-to-stride fluctuations and gait variability in overground walking.European journal of applied physiology · 2026Article
- Beyond fixed beats: adaptive musical entrainment for precision neurorehabilitation in neurodegenerative disorders.Frontiers in rehabilitation sciences · 2026Article
- Hybrid Framework for Cartilage Damage Detection from Vibroacoustic Signals Using Ensemble Empirical Mode Decomposition and CNNs.Sensors (Basel, Switzerland) · 2025Article
- Precision in Brief: The Bayesian Hurst-Kolmogorov Method for the Assessment of Long-Range Temporal Correlations in Short Behavioral Time Series.Entropy (Basel, Switzerland) · 2025Article
- Effects of metronome walking on long-term attractor divergence and correlation structure of gait: a validation study in older people.Scientific reports · 2024Article
- Fractal Analysis in Neurodegenerative Diseases.Advances in neurobiology · 2024Article
- NONAN GaitPrint: An IMU gait database of healthy young adults.Scientific data · 2023Article
- Better than DFA? A Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences.ArXiv · 2023Article
- Impact of prolonged chronic social isolation stress on behavior and multifractal complexity of metabolic rate inFrontiers in behavioral neuroscience · 2023Article
- Gauging Gait Disorders with a Method Inspired by Motor Control Theories: A Pilot Study in Friedreich's Ataxia.Sensors (Basel, Switzerland) · 2021Article
- Fast Hand Movements Unveil Multifractal Roots of Adaptation in the Visuomotor Cognitive System.Frontiers in physiology · 2021Article
- On the application of entropic half-life and statistical persistence decay for quantification of time dependency in human gait.Journal of biomechanics · 2020Article
- Fractal auditory stimulation has greater benefit for people with Parkinson's disease showing more random gait pattern.Gait & posture · 2020Article
- Influence of Autocorrelated Rhythmic Auditory Stimulations on Parkinson's Disease Gait Variability: Comparison With Other Auditory Rhythm Variabilities and Perspectives.Frontiers in physiology · 2020Article
- Fractal Analysis of Human Gait Variability via Stride Interval Time Series.Frontiers in physiology · 2020Article
- Differences in reproducibility of gait variability and fractal dynamics according to walking duration.Technology and health care : official journal of the European Society for Engineering and Medicine · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundThe fractal dynamics of gait variability in people with Parkinson's disease has been studied by applying the detrended fluctuation analysis (DFA) to short time series (<200 strides). However, DFA is sensitive to time series length, and it is unclear if DFA results from short time series are reliable and if they reflect the fractal dynamics of longer time series. RESEARCH QUESTION: Is DFA reliable when applied to short time series?
methodsWe applied DFA to stride time series from five 3-min trials and one 15-min trial in 12 people with Parkinson's disease, 14 healthy older adults and 14 healthy young adults walking overground. Within each group, intraclass correlations (ICC 3,1) were performed to assess the reliability of i) the five 3-min trials together, ii) each 3-min trials to the 15-min trial, and iii) the first 150 strides from the 15-min trial to the full 15-min trial.
resultsOur three main findings are that 1) stride time α-DFA values are not consistent from trial-to-trial for short stride time series, 2) stride time α-DFA values from each 3-min trials are not consistent when compared to stride time α-DFA values from a 15-min trial, and 3) stride time α-DFA values from the first 150 strides of the 15-min trial are not consistent when compared to α-DFA values from the full 15-min trial. SIGNIFICANCE: Our results confirm that α-DFA values from 3-min walking trials are not reliable, and that they do not reflect the scale invariant properties of longer time series. This suggests that previous studies assessing the fractal dynamics of gait variability from about 3-min walking must be interpreted with caution. A major clinical implication is that DFA cannot be used to study gait in people unable to perform 500 strides continuously.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.